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https://github.com/pacnpal/thrillwiki_django_no_react.git
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Optimize database queries for parks and rides using select_related and prefetch_related, implement caching for homepage stats and trending items, and update the ride detail template to remove unnecessary link wrapping. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 48ecdb60-d0f0-4b75-95c9-34e409ef35fb Replit-Commit-Checkpoint-Type: intermediate_checkpoint
231 lines
9.0 KiB
Python
231 lines
9.0 KiB
Python
from django.shortcuts import render
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from django.views.generic import TemplateView
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from django.db.models import Q
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from django.core.cache import cache
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from apps.parks.models import Park, Company
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from apps.rides.models import Ride
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from apps.core.analytics import PageView
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from django.conf import settings
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from django.db import connection
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import os
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import secrets
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import logging
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# Set up logger for query debugging
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logger = logging.getLogger(__name__)
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def optimize_park_queryset(queryset):
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"""Add proper select_related and prefetch_related to park querysets"""
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return queryset.select_related(
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'operator', 'property_owner', 'card_image', 'banner_image'
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).prefetch_related('photos')
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def optimize_ride_queryset(queryset):
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"""Add proper select_related and prefetch_related to ride querysets"""
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return queryset.select_related(
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'park', 'park__operator', 'manufacturer', 'designer', 'card_image',
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'ride_model', 'park_area'
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).prefetch_related('photos')
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def handler404(request, exception):
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return render(request, "404.html", status=404)
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def handler500(request):
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return render(request, "500.html", status=500)
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class HomeView(TemplateView):
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template_name = "home.html"
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def get_context_data(self, **kwargs):
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# Track query count for performance monitoring
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queries_start = len(connection.queries)
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context = super().get_context_data(**kwargs)
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# Get stats - try cache first
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stats = cache.get("homepage_stats")
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if stats is None:
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stats = {
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"total_parks": Park.objects.count(),
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"ride_count": Ride.objects.count(),
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"coaster_count": Ride.objects.filter(category="RC").count(),
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}
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# Cache stats for 30 minutes
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cache.set("homepage_stats", stats, 1800)
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context["stats"] = stats
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# Try to get trending items from cache first
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trending_parks = cache.get("trending_parks")
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trending_rides = cache.get("trending_rides")
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# If not in cache, get them directly and cache them
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if trending_parks is None:
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try:
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# Get trending parks with optimized queries
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trending_parks_qs = optimize_park_queryset(
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PageView.get_trending_items(Park, hours=24, limit=10)
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)
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trending_parks = list(trending_parks_qs)
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# Filter out any parks with invalid slugs
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trending_parks = [p for p in trending_parks if getattr(p, 'slug', None)]
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if trending_parks:
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cache.set(
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"trending_parks", trending_parks, 3600
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) # Cache for 1 hour
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else:
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# Fallback to highest rated parks if no trending data
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trending_parks = Park.objects.exclude(
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average_rating__isnull=True
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).exclude(slug__isnull=True).exclude(slug__exact='').select_related(
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'operator', 'property_owner', 'card_image', 'banner_image'
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).prefetch_related('photos').order_by("-average_rating")[:10]
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except Exception:
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# Fallback to highest rated parks if trending calculation fails
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trending_parks = Park.objects.exclude(
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average_rating__isnull=True
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).exclude(slug__isnull=True).exclude(slug__exact='').select_related(
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'operator', 'property_owner', 'card_image', 'banner_image'
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).prefetch_related('photos').order_by("-average_rating")[:10]
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if trending_rides is None:
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try:
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# Get trending rides with optimized queries
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trending_rides_qs = optimize_ride_queryset(
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PageView.get_trending_items(Ride, hours=24, limit=10)
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)
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trending_rides = list(trending_rides_qs)
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# Filter out any rides with invalid slugs
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trending_rides = [r for r in trending_rides if getattr(r, 'slug', None)]
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if trending_rides:
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cache.set(
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"trending_rides", trending_rides, 3600
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) # Cache for 1 hour
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else:
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# Fallback to highest rated rides if no trending data
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trending_rides = Ride.objects.exclude(
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average_rating__isnull=True
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).exclude(slug__isnull=True).exclude(slug__exact='').select_related(
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'park', 'park__operator', 'manufacturer', 'designer', 'card_image',
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'ride_model', 'park_area'
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).prefetch_related('photos').order_by("-average_rating")[:10]
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except Exception:
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# Fallback to highest rated rides if trending calculation fails
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trending_rides = Ride.objects.exclude(
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average_rating__isnull=True
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).exclude(slug__isnull=True).exclude(slug__exact='').select_related(
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'park', 'park__operator', 'manufacturer', 'designer', 'card_image',
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'ride_model', 'park_area'
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).prefetch_related('photos').order_by("-average_rating")[:10]
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# Get highest rated items (mix of parks and rides)
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highest_rated_parks = list(
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Park.objects.exclude(average_rating__isnull=True)
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.exclude(slug__isnull=True).exclude(slug__exact='')
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.select_related('operator', 'property_owner', 'card_image', 'banner_image')
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.prefetch_related('photos')
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.order_by("-average_rating")[:20]
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) # Get more items to randomly select from
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highest_rated_rides = list(
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Ride.objects.exclude(average_rating__isnull=True)
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.exclude(slug__isnull=True).exclude(slug__exact='')
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.select_related('park', 'park__operator', 'manufacturer', 'designer', 'card_image',
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'ride_model', 'park_area')
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.prefetch_related('photos')
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.order_by("-average_rating")[:20]
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) # Get more items to randomly select from
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# Combine and shuffle highest rated items
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all_highest_rated = highest_rated_parks + highest_rated_rides
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secrets.SystemRandom().shuffle(all_highest_rated)
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# Keep the same context variable names for template compatibility
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context["popular_parks"] = trending_parks
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context["popular_rides"] = trending_rides
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context["highest_rated"] = all_highest_rated[
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:10
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] # Take first 10 after shuffling
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# Log query count for debugging
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queries_end = len(connection.queries)
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query_count = queries_end - queries_start
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logger.info(f"HomeView executed {query_count} queries")
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return context
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class SearchView(TemplateView):
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template_name = "search_results.html"
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def get_context_data(self, **kwargs):
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context = super().get_context_data(**kwargs)
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if query := self.request.GET.get("q", "").strip():
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# Search parks
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context["parks"] = (
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Park.objects.filter(
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Q(name__icontains=query)
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| Q(location__icontains=query)
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| Q(description__icontains=query)
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)
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.select_related("operating_company")
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.prefetch_related("photos")[:10]
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)
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# Search rides
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context["rides"] = (
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Ride.objects.filter(
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Q(name__icontains=query)
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| Q(description__icontains=query)
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| Q(manufacturer__name__icontains=query)
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)
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.select_related("park", "coaster_stats")
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.prefetch_related("photos")[:10]
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)
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# Search companies
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context["companies"] = Company.objects.filter(
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Q(name__icontains=query) | Q(description__icontains=query)
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).prefetch_related("operated_parks", "owned_parks")[:10]
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return context
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def environment_and_settings_view(request):
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# Get all environment variables
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env_vars = dict(os.environ)
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# Get all Django settings as a dictionary
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settings_vars = {
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setting: getattr(settings, setting)
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for setting in dir(settings)
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if setting.isupper()
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}
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return render(
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request,
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"environment_and_settings.html",
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{"env_vars": env_vars, "settings_vars": settings_vars},
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)
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def test_button_comparison(request):
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"""
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Test view to compare cotton button component with original include version.
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Renders a comprehensive test page with all button variants and combinations.
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"""
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return render(request, "test_button_comparison.html")
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def test_auth_modal_comparison(request):
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"""
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Test view to compare cotton auth modal component with original include version.
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Renders a comprehensive test page to verify Alpine.js functionality, styling, and behavior parity.
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"""
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return render(request, "test_auth_modal_comparison.html")
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